scholarly journals Study and Application of Intelligent Sliding Mode Control for Voltage Source Inverters

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2544 ◽  
Author(s):  
En-Chih Chang
Keyword(s):  
Steady State ◽  
Sliding Mode Control ◽  
Digital Signal Processor ◽  
Sliding Mode ◽  
Transient Behavior ◽  
Voltage Source ◽  
Accurate Estimation ◽  
Inference System ◽  
Mode Control ◽  
State Error

In this paper, an intelligent sliding mode controlled voltage source inverter (VSI) is developed to achieve not only quick transient behavior, but satisfactory steady-state response. The presented approach combines the respective merits of a nonsingular fast terminal attractor (NFTA) as well as an adaptive neuro-fuzzy inference system (ANFIS). The NFTA allows no singularity and error states to be converged to the equilibrium within a finite time, while conventional sliding mode control (SMC) leads to long-term (infinite) convergent behavior. However, there is the likelihood of chattering or steady-state error occurring in NFTA due to the overestimation or underestimation of system uncertainty bound. The ANFIS with accurate estimation and the ease of implementation is employed in NFTA for suppressing the chatter or steady-state error so as to improve the system’s robustness against uncertain disturbances. Simulation results display that this described approach yields low distorted output wave shapes and quick transience in the presence of capacitor input rectifier loading as well as abrupt connection of linear loads. Experimental results conducted on a 1 kW VSI prototype with control algorithm implementation in Texas Instruments DSP (digital signal processor) support the theoretic analysis and reaffirm the robust performance of the developed VSI. Because the proposed VSI yields remarkable benefits over conventional terminal attractor VSIs on the basis of computational quickness and unsophisticated realization, the presented approach is a noteworthy referral to the designers of correlated VSI applications in future, such as DC (direct current) microgrids and AC (alternating current) microgrids, or even hybrid AC/DC microgrids.

Integral Sliding Mode Control Based on Barrier Function for Servo Actuator with Friction

2021 ◽  
Vol 39 (2A) ◽  
pp. 248-259
Author(s):  
Anmar F. Abd ◽  
Shibly A. Al-Samarraie
Keyword(s):  
Steady State ◽  
Sliding Mode Control ◽  
Barrier Function ◽  
Sliding Mode ◽  
Function Parameter ◽  
Integral Sliding Mode Control ◽  
Integral Sliding Mode ◽  
Mode Control ◽  
Servo Actuator ◽  
State Error

This paper proposes the use of the integral sliding mode control (ISMC) based on the barrier function to control the servo actuator system with friction.  Based on the barrier function, the main features of the ISMC design were preserved, additionally, the proposed control design is done without the need to know the bound on the system model uncertainty, accordingly, the overestimation of the control gain doesn’t take place and the chattering is eliminated. Moreover, the steady-state error can be adjusted via selecting the barrier function parameter only. The simulation results demonstrate the performance of the proposed ISMC based on the barrier function where the system angle successfully follows the desired angular position with a small pre-adjusted steady-state error. Additionally, the obtained results clarify superior features compared with a traditional ISMC designed to the same actuator.

scholarly journals Real Time Implementation of Fuzzy Adaptive PI-sliding Mode Controller for Induction Machine Control

2018 ◽  
Vol 8 (5) ◽  
pp. 2883
Author(s):  
Mohamed Habbab ◽  
Abdeldjebar Hazzab ◽  
Pierre Sicard
Keyword(s):  
Sliding Mode Control ◽  
Real Time ◽  
Digital Signal Processor ◽  
Sliding Mode ◽  
Sliding Mode Controller ◽  
Motor Speed ◽  
Time Data ◽  
Inference System ◽  
Mode Control ◽  
Fuzzy Adaptive

<p>In this work, a fuzzy adaptive PI-sliding mode control is proposed for Induction Motor speed control. First, an adaptive PI-sliding mode controller with a proportional plus integral equivalent control action is investigated, in which a simple adaptive algorithm is utilized for generalized soft-switching parameters. The proposed control design uses a fuzzy inference system to overcome the drawbacks of the sliding mode control in terms of high control gains and chattering to form a fuzzy sliding mode controller. The proposed controller has implemented for a 1.5kW three-Phase IM are completely carried out using a dSPACE DS1104 digital signal processor based real-time data acquisition control system, and MATLAB/Simulink environment. Digital experimental results show that the proposed controller can not only attenuate the chattering extent of the adaptive PI-sliding mode controller but can provide high-performance dynamic characteristics with regard to plant external load disturbance and reference variations. </p>

scholarly journals Real Time Implementation of Fuzzy Adaptive PI-sliding Mode Controller for Induction Machine Control

2018 ◽  
Vol 8 (5) ◽  
pp. 2884
Author(s):  
Mohamed Habbab ◽  
Abdeldjebar Hazzab ◽  
Pierre Sicard
Keyword(s):  
Sliding Mode Control ◽  
Real Time ◽  
Digital Signal Processor ◽  
Sliding Mode ◽  
Sliding Mode Controller ◽  
Motor Speed ◽  
Time Data ◽  
Inference System ◽  
Mode Control ◽  
Fuzzy Adaptive

<p>In this work, a fuzzy adaptive PI-sliding mode control is proposed for Induction Motor speed control. First, an adaptive PI-sliding mode controller with a proportional plus integral equivalent control action is investigated, in which a simple adaptive algorithm is utilized for generalized soft-switching parameters. The proposed control design uses a fuzzy inference system to overcome the drawbacks of the sliding mode control in terms of high control gains and chattering to form a fuzzy sliding mode controller. The proposed controller has implemented for a 1.5kW three-Phase IM are completely carried out using a dSPACE DS1104 digital signal processor based real-time data acquisition control system, and MATLAB/Simulink environment. Digital experimental results show that the proposed controller can not only attenuate the chattering extent of the adaptive PI-sliding mode controller but can provide high-performance dynamic characteristics with regard to plant external load disturbance and reference variations. </p>

SLIDING MODE DESIGN OF CONTROL AND MODULATOR ELECTRONICS FOR POWER CONVERTERS

1995 ◽  
Vol 05 (03) ◽  
pp. 355-371 ◽  
Author(s):  
J. FERNANDO SILVA
Keyword(s):  
Steady State ◽  
Sliding Mode Control ◽  
Power Converters ◽  
Sliding Mode ◽  
Power Converter ◽  
Operating Conditions ◽  
Switching Frequency ◽  
Circuit Parameter ◽  
Mode Control ◽  
State Error

This paper presents state-of-the-art application of Sliding Mode Control theory, to improve the performance and to integrate the modulator and control electronics design of power converters. This approach eliminates conventional PWM modulators and loop linear PI regulators, reducing the converter complexity, weight and volume, which increases its power density figure. Sliding Mode Control techniques are used to obtain, from the controllability canonical system model, the control law, a linear combination of state variable errors and its derivatives, whose implementation is a simple circuit, that directly generates the drive pulses for the semiconductors. The commutation strategy implements a power converter with better performances than conventional PWM controlled ones, faster response and robustness concerning circuit parameter variations and operating conditions. This non linear control approach provides zero steady-state error and, by the subtle use of limiters, short circuit ouput current limitation. Using a simple 3 level clock, it is also shown how to obtain a sliding mode controller with constant switching frequency and zero steady-state error.

scholarly journals Piecewise fast multi-power reaching law: Basis for sliding mode control algorithm

2020 ◽  
pp. 002029402096424
Author(s):  
Guang-Yu Yang ◽  
Si-Yi Chen
Keyword(s):  
Steady State ◽  
Sliding Mode Control ◽  
Sliding Mode ◽  
Nonlinear Function ◽  
Convergence Time ◽  
Pendulum System ◽  
Reaching Law ◽  
Mode Control ◽  
Inverted Pendulum System ◽  
State Error

A piecewise fast multi-power reaching law (PFMPRL) is proposed aiming at the problems of chattering and slow convergence in the reaching phase of sliding mode control (SMC). In this paper, the fast power reaching law and the double power reaching law are combined, and a nonlinear function is introduced to design the exponential term in PFMPRL. The proposed method ensures the characteristic of fast convergence of the system at all the phases of tendency. The characteristic of fixed-time convergence has also been satisfied. The study proves that the system state can converge to steady-state error bounds within a finite time in the presence of system uncertainty and bounded external disturbance. Compared with the existed methods, the proposed method has shorter convergence time and smaller steady-state error bound. To suppress the influence of model uncertainty and disturbance in system control, a non-linear disturbance observer (NDO) is introduced, and combined with the reaching law-based non-singular terminal sliding mode control (NTSMC), is applied to the cart inverted pendulum system. Simulation results and numerical analysis verify the effectiveness and superiority of this approach.

Improved higher order adaptive sliding mode control for increased efficiency of grid connected hybrid systems

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Masood Ibni Nazir ◽  
Aijaz Ahmad ◽  
Ikhlaq Hussain
Keyword(s):  
Steady State ◽  
Sliding Mode Control ◽  
Power System ◽  
Sliding Mode ◽  
Learning Algorithm ◽  
Lms Algorithm ◽  
Adaptive Sliding Mode Control ◽  
Voltage Source ◽  
Least Mean Square ◽  
Mode Control

Abstract This paper proposes a hybrid learning algorithm based super twisting sliding mode control (STSMC) of a hybrid wind/photovoltaic (PV) power system for grid connected applications. The gating pulses of the voltage source converter (VSC) are generated by employing adaptive reweighted zero attracting least mean square (RZA-LMS) algorithm. The control law acquiring the super-twisting algorithm generates a continuous and saturated control signal to regulate a hybrid system influenced by disturbances. The proposed control injects sinusoidal currents into the grid with low total harmonic distortion (THD) which improves the steady state & dynamic performance of the system by mitigating power system problems like harmonic injections besides giving satisfactory results under dynamic loading, varying wind speeds and solar insolation. It is a chattering free control which enhances the quality of disturbance rejection and sensitivity to parameter variation. It also caters to abnormal conditions like voltage distortions, DC link variations and reduces the latter by a factor of 80 V besides reducing switch stress by a factor of 5 V. This control exhibits robustness against model uncertainties and external disturbances. Also, the loss component is reduced which decreases the unmodelled losses. It also ensures efficient power flow between the grid, hybrid source and the load. The efficacy of the system is verified in MATLAB/Simulink. Improvements are also observed during dynamic conditions in terms of reduced fluctuations, steady state error and peak overshoot.

scholarly journals A robust controller for a variable-speed wind turbine using a single mass model

2021 ◽  
Vol 297 ◽  
pp. 01042
Author(s):  
Aazdine Afkari ◽  
Fatima Ez-zahra Lamzouri ◽  
El-Mahjoub Boufounas
Keyword(s):  
Steady State ◽  
Sliding Mode Control ◽  
Wind Turbine ◽  
Sliding Mode ◽  
Variable Speed ◽  
Mass Model ◽  
Mode Control ◽  
Variable Speed Wind Turbine ◽  
Single Mass ◽  
State Error

In this paper, a robust nonlinear controller based on integral sliding mode control (ISMC) strategy was proposed to maximize the captured energy for a variable speed wind turbine (VSWT). In order to reduce the reaching phase, an integral action is introduced in the switching surface of the sliding mode control (SMC) for a minimum steady state error. The controlled system stability is demonstrated using the Lyapunov theory and the trajectory tracking error converges in finite time to zero without any chattering problems. Various simulations, carried out via Matlab software, are discussed to highlight the proposed method performance, using a nonlinear single mass model. Finally, the simulation results show that the proposed Integral SMC strategy ensures better response speed and smaller steady-state error compared to the standard SMC.

scholarly journals Design of Composite Disturbance Observer and Continuous Terminal Sliding Mode Control for Piezoelectric Nanopositioning Stage

Electronics ◽  
2021 ◽  
Vol 10 (18) ◽  
pp. 2242
Author(s):  
Pengyu Qiao ◽  
Jun Yang ◽  
Chen Dai ◽  
Xi Xiao
Keyword(s):  
Sliding Mode Control ◽  
Control Strategy ◽  
Disturbance Observer ◽  
Sliding Mode ◽  
Accurate Estimation ◽  
Terminal Sliding Mode Control ◽  
External Disturbances ◽  
Terminal Sliding Mode ◽  
Composite Control ◽  
Mode Control

The nonlinearities of piezoelectric actuators and external disturbances of the piezoelectric nanopositioning stage impose great, undesirable influences on the positioning accuracy of nanopositioning stage systems. This paper considers nonlinearities and external disturbances as a lumped disturbance and designs a composite control strategy for the piezoelectric nanopositioning stage to realize ultra-high precision motion control. The proposed strategy contains a composite disturbance observer and a continuous terminal sliding mode controller. The composite disturbance observer can estimate both periodic and aperiodic disturbances so that the composite control strategy can deal with the disturbances with high accuracy. Meanwhile, the continuous terminal sliding mode control is employed to eliminate the chattering phenomenon and speed up the convergence rate. The simulation and experiment results show that the composite control strategy achieves accurate estimation of different forms of disturbances and excellent tracking performance.

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